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	<h4>- 数据分析,是什么? -</h4>
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				<strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;数据分析，</strong>
					是指用适当的统计分析方法对收集来的大量数据进行分析，提取有用信息和形成结论而对数据加以详细研究和概括总结的过程。这一过程也是质量管理体系的支持过程。在实用中，数据分析可帮助人们作出判断，以便采取适当行动。
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					&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;数据分析的数学基础在20世纪早期就已确立，但直到计算机的出现才使得实际操作成为可能，并使得数据分析得以推广。数据分析是数学与计算机科学相结合的产物，并且在这个大数据时代日渐流行。
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	<h4>- 我能得到什么? -</h4>
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				<h2>1.简洁、方便的数据分析平台</h2>
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	<h4>- 如何开始? -</h4>
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	<b>简要流程介绍:</b>
			<p></p>
			<p>a.数据分析流程：明确分析目的 → 搭建分析体系 → 确定分析内容 → 进行数据搜集、数据处理、数据分析、数据展现 → 检验结果</p>
			<p>b.数据挖掘流程：明确挖掘目标 → 数据取样 → 数据探索 → 数据预处理 → 挖掘建模 → 模型评价</p>
			<hr>
	<b>可采用的工具（包括但不限于）:</b>
			<p></p>
			<p>a.使用Excel等简单的工具进行初步数据分析。</p>
			<p>b.使用SPSS、WEKA、KNIME等专业数据分析平台进行数据分析。</p>
			<p>c.使用matlab等商业数学软件进行数据分析。</p>
			<p>d.学习一门编程语言，如C、Python、Java等，编写程序以进行更加符合需求的分析。</p>
			<p>e.利于本平台（http://sjfx.piclass.cn）进行数据分析。</p>
			<p>&nbsp;&nbsp;或许我们没有SPSS等专业工具的功能强大，也没有Python等编程语言的功能全面。但我们致力于提供一个通用的、面向普通用户的平台，致力于降低数据分析的门槛。您无需掌握编程语言的复杂语法；无需掌握数据分析所需的复杂算法；无需费力下载诸多非开源软件，海量数据，一站搞定。</p>
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